generic-library/opencv
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typos

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This commit is contained in:
Ilya Lavrenov
2014-03-03 19:37:47 +04:00
parent af8aa8a2fa
commit 099ea91823
30 changed files with 78 additions and 78 deletions
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4
modules/contrib/src/imagelogpolprojection.cpp
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@@ -362,14 +362,14 @@ bool ImageLogPolProjection::_initLogPolarCortexSampling(const double reductionFa
//std::cout<<"ImageLogPolProjection::Starting cortex projection"<<std::endl;
// compute transformation, get theta and Radius in reagrd of the output sampled pixel
double diagonalLenght=sqrt((double)(_outputNBcolumns*_outputNBcolumns+_outputNBrows*_outputNBrows));
double diagonalLength=sqrt((double)(_outputNBcolumns*_outputNBcolumns+_outputNBrows*_outputNBrows));
for (unsigned int radiusIndex=0;radiusIndex<_outputNBcolumns;++radiusIndex)
for(unsigned int orientationIndex=0;orientationIndex<_outputNBrows;++orientationIndex)
{
double x=1.0+sinh(radiusAxis[radiusIndex])*cos(orientationAxis[orientationIndex]);
double y=sinh(radiusAxis[radiusIndex])*sin(orientationAxis[orientationIndex]);
// get the input picture coordinate
double R=diagonalLenght*sqrt(x*x+y*y)/(5.0+sqrt(x*x+y*y));
double R=diagonalLength*sqrt(x*x+y*y)/(5.0+sqrt(x*x+y*y));
double theta=atan2(y,x);
// convert input polar coord into cartesian/C compatble coordinate
unsigned int columnIndex=(unsigned int)(cos(theta)*R)+halfInputColumns;

2
modules/contrib/src/lda.cpp
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@@ -229,7 +229,7 @@ Mat subspaceReconstruct(InputArray _W, InputArray _mean, InputArray _src)
string error_message = format("Wrong mean shape for the given eigenvector matrix. Expected %d, but was %d.", W.cols, mean.total());
CV_Error(CV_StsBadArg, error_message);
}
// initalize temporary matrices
// initialize temporary matrices
Mat X, Y;
// copy data & make sure we are using the correct type
src.convertTo(Y, W.type());

10
modules/contrib/src/templatebuffer.hpp
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@@ -357,27 +357,27 @@ namespace cv
for (unsigned int i=0;i<this->size();++i)
{
double curentValue=(double)*(bufferPTR++);
double currentValue=(double)*(bufferPTR++);
// updating "closest to the high threshold" pixel value
double highValueTest=maxThreshold-curentValue;
double highValueTest=maxThreshold-currentValue;
if (highValueTest>0)
{
if (deltaH>highValueTest)
{
deltaH=highValueTest;
updatedHighValue=curentValue;
updatedHighValue=currentValue;
}
}
// updating "closest to the low threshold" pixel value
double lowValueTest=curentValue-minThreshold;
double lowValueTest=currentValue-minThreshold;
if (lowValueTest>0)
{
if (deltaL>lowValueTest)
{
deltaL=lowValueTest;
updatedLowValue=curentValue;
updatedLowValue=currentValue;
}
}
}